The Study of Render Farm Image Classification Using Deep Neural Network

Rendering on the making of movie animation is a process combining imagination animators and artistic creativity by turning graphic display into millions moving images. To perform rendering process, render farm used, which combination group high-performance computers (super-computers) commonly referred to as Computer Generated Imager. Throughout this time, artist spends considerable plenty time doing image analysis from farms manually. Reflecting that, study presented in paper propose deep learning method can separate images results more quickly accurately. The technique proposed classification approved or revised machine using Deep Neural Network (DNN) technique. verify DNN that best fits dataset, experiments were carried out several layer depths adjustment epoch. In terms treatment experiment scenario selected was percentage cross validation. performance provided depth configuration 10, epoch value 100. provides accuracy, precision recall 90%, 96% 92% respectively.